Data Denoising using AI for improving the accuracy of Solid-State Nanopore Sensing

使用 AI 进行数据去噪以提高固态纳米孔传感的准确性

• 批准号: CCARD-2022-00591
• 负责人: Renaud, Eric
• 金额: $ 2.38万
• 依托单位: La Cité collégiale
• 依托单位国家: 加拿大
• 项目类别: CCI Applied Research and Development Grants
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=756741
• 关键词: Data; Denoising; using; AI; improving; Data; Denoising; using; AI; improving

Northern Nanopore Instruments (NNi), a spin-off of the University of Ottawa incorporated in 2020, is an instrumentation company that specializes in research tools and solutions to support fundamental and applied research on solid-state nanopores. The Center of Expertise in Smart Prototyping (CEPI) of La Cité in Ottawa which will do the applied research on this project has expertise in AI. Solid-state nanopores-tiny holes in thin membranes similar in size to a molecule of DNA or a typical protein-are set to disruptive multiple critical markets, including proteomics, DNA sequencing, drug discovery, next-generation digital information storage, and more. The operating principle is simple: when a voltage is applied across the nanopore in conductive solution, ionic current is driven through the pore, and biomolecules will block the ionic current during passage. The shape and characteristic of that blockage signal, if carefully decoded, provides a wealth of information about the translocating molecule. One of NNi's product offerings in an analysis and signal processing suite called Nanolyzer, intended to analyze and interpret the signals generated during nanopore operation. Typically, signals collected from nanopore sensing are polluted with noise from numerous sources. Traditional frequency-based filtering distorts the signal and further complicates analysis. This project goal is to use a deep learning approach to separate signal from noise and thereby reduce the noise with minimal distortion to the signal. The value would be a better signal signal-to-noise ratio improving interpretation of the signals generated by biomolecules passing through the nanopore. The CEPI's team will help Northern Nanopore Instruments achieve this goal.

北纳米波尔仪器（NNI）是2020年渥太华大学的衍生产品，是一家仪器公司，专门从事研究工具和解决方案，以支持固态纳米孔的基本和应用研究。渥太华LaCité的智能原型（CEPI）专业知识中心将对该项目进行应用研究，具有AI的专业知识。薄膜的固态纳米孔微孔孔的大小与DNA分子或典型的蛋白质ARE相似，以破坏性多个关键市场，包括蛋白质组学，DNA测序，药物发现，下一代数字信息存储等等。工作原理很简单：当在导电溶液中跨纳米孔施加电压时，离子电流会通过孔驱动，并且生物分子会在通道过程中阻止离子电流。该阻滞信号的形状和特征（如果仔细解码）提供了有关易位分子的大量信息。 NNI在称为纳米仪的分析和信号处理套件中的产品之一，旨在分析和解释纳米孔操作期间产生的信号。通常，从纳米孔传感器收集的信号被许多来源的噪声污染。传统的基于频率的过滤会扭曲信号，并进一步使分析复杂化。这个项目目标是使用深度学习方法将信号与噪声分开，从而减少信号失真的噪声。该值将是更好的信噪比，改善了通过纳米孔生物分子产生的信号的解释。 CEPI的团队将帮助Northern Nanopore仪器实现这一目标。